| Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome AM Wenger, P Peluso, WJ Rowell, PC Chang, RJ Hall, GT Concepcion, ... Nature biotechnology 37 (10), 1155-1162, 2019 | 865 | 2019 |
| A universal SNP and small-indel variant caller using deep neural networks R Poplin, PC Chang, D Alexander, S Schwartz, T Colthurst, A Ku, ... Nature biotechnology 36 (10), 983-987, 2018 | 742 | 2018 |
| A conditional random field word segmenter for sighan bakeoff 2005 H Tseng, PC Chang, G Andrew, D Jurafsky, CD Manning Proceedings of the fourth SIGHAN workshop on Chinese language Processing, 2005 | 575 | 2005 |
| Optimizing Chinese word segmentation for machine translation performance PC Chang, M Galley, CD Manning Proceedings of the third workshop on statistical machine translation, 224-232, 2008 | 394 | 2008 |
| Discriminative reordering with Chinese grammatical relations features PC Chang, H Tseng, D Jurafsky, CD Manning Proceedings of the Third Workshop on Syntax and Structure in Statistical …, 2009 | 199 | 2009 |
| Uptraining for accurate deterministic question parsing S Petrov, PC Chang, M Ringgaard, H Alshawi | 92 | 2010 |
| Ultrarapid nanopore genome sequencing in a critical care setting JE Gorzynski, SD Goenka, K Shafin, TD Jensen, DG Fisk, ME Grove, ... New England Journal of Medicine 386 (7), 700-702, 2022 | 79 | 2022 |
| Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads K Shafin, T Pesout, PC Chang, M Nattestad, A Kolesnikov, S Goel, G Baid, ... Nature methods 18 (11), 1322-1332, 2021 | 73 | 2021 |
| Accurate, scalable cohort variant calls using DeepVariant and GLnexus T Yun, H Li, PC Chang, MF Lin, A Carroll, CY McLean Bioinformatics 36 (24), 5582-5589, 2020 | 68 | 2020 |
| Pangenomics enables genotyping of known structural variants in 5202 diverse genomes J Sirén, J Monlong, X Chang, AM Novak, JM Eizenga, C Markello, ... Science 374 (6574), abg8871, 2021 | 63 | 2021 |
| PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions ND Olson, J Wagner, J McDaniel, SH Stephens, ST Westreich, ... Cell Genomics 2 (5), 100129, 2022 | 60 | 2022 |
| Deep learning of genomic variation and regulatory network data A Telenti, C Lippert, PC Chang, M DePristo Human molecular genetics 27 (Supplement_R1), R63-R71, 2018 | 58 | 2018 |
| A discriminative syntactic word order model for machine translation PC Chang, K Toutanova Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 46 | 2007 |
| A deep learning approach to pattern recognition for short DNA sequences A Busia, GE Dahl, C Fannjiang, DH Alexander, E Dorfman, R Poplin, ... BioRxiv, 353474, 2018 | 40 | 2018 |
| Disambiguating “DE” for Chinese-English machine translation PC Chang, D Jurafsky, CD Manning Proceedings of the Fourth Workshop on Statistical Machine Translation, 215-223, 2009 | 39 | 2009 |
| Haplotype-aware variant calling enables high accuracy in nanopore long-reads using deep neural networks K Shafin, T Pesout, PC Chang, M Nattestad, A Kolesnikov, S Goel, G Baid, ... BioRxiv, 2021.03. 04.433952, 2021 | 27 | 2021 |
| Genotyping common, large structural variations in 5,202 genomes using pangenomes, the Giraffe mapper, and the vg toolkit J Sirén, J Monlong, X Chang, AM Novak, JM Eizenga, C Markello, ... Biorxiv, 2020.12. 04.412486, 2020 | 23 | 2020 |
| Automatically detecting action items in audio meeting recordings W Morgan, PC Chang, S Gupta, J Brenier Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue, 96-103, 2006 | 23 | 2006 |
| Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing SD Goenka, JE Gorzynski, K Shafin, DG Fisk, T Pesout, TD Jensen, ... Nature Biotechnology 40 (7), 1035-1041, 2022 | 21 | 2022 |
| Discriminative syntactic word order model for machine translation KN Toutanova, PC Chang US Patent 8,452,585, 2013 | 20 | 2013 |
